Victor Huang
Software Engineer at Seth Technologies
New Taipei, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolVictor Huang is a software engineer based in New Taipei with nine years of experience focused on web development, data engineering, and machine learning tooling. He has practical expertise building Flask-backed sites, integrating MongoDB, and deploying solutions on GCP, and he routinely extracts, transforms, and serves data for production web apps. Victor also applies Python and PyTorch to create reusable ML training templates, contributing modular trainer, logging, and validation components that streamline experiment workflows. With a master's in Computer Programming and a hands-on role at Seth Technologies, he blends academic rigor with pragmatic engineering to deliver faster, data-driven web experiences. Notably, his work emphasizes maintainable project structure and observability, making models and services easier to monitor and iterate.
9 years of coding experience
碩士, Computer Programming, 碩士, Computer Programming at 淡江大學學士, Computer Programming, 學士, Computer Programming at 逢甲大學
Stackoverflow
1reputation
0reached
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0questions
Github Skills (11)
data-loading10
pytorch10
machine-learning10
deep-learning10
trainings10
python10
modeling10
metric9
validation9
validations9
tensorflow3
Programming languages (2)
Github contributions (5)
victoresque/pytorch-template
Mar 2018 - Sep 2018
PyTorch deep learning projects made easy.
Role in this project:
ML Engineer
ML EngineerContributions:44 commits, 9 PRs, 38 pushes in 6 months
Contributions summary:Victor focused on building a PyTorch deep learning template. They implemented core training logic, including a base trainer class and a trainer class that handles epoch-wise training. They also integrated the use of a logger, metrics, and validation splits to enhance training efficiency and monitoring. The commits showcase the development of a modular PyTorch project structure with data loading and model definition.
deep-learningpytorchmachine-learning
victoresque/MLDS2018SPRING
Mar 2018 - Jul 2018
Contributions:114 commits, 2 comments, 1 issue in 3 months
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